| Ensemble of deep neural networks with probability-based fusion for facial expression recognition G Wen, Z Hou, H Li, D Li, L Jiang, E Xun Cognitive Computation 9 (5), 597-610, 2017 | 184 | 2017 |
| Weighted spectral features based on local Hu moments for speech emotion recognition Y Sun, G Wen, J Wang Biomedical signal processing and control 18, 80-90, 2015 | 133 | 2015 |
| Random deep belief networks for recognizing emotions from speech signals G Wen, H Li, J Huang, D Li, E Xun Computational intelligence and neuroscience 2017 (1), 1945630, 2017 | 93 | 2017 |
| Complexity perception classification method for tongue constitution recognition J Ma, G Wen, C Wang, L Jiang Artificial intelligence in medicine 96, 123-133, 2019 | 60 | 2019 |
| Competitive inner-imaging squeeze and excitation for residual network Y Hu, G Wen, M Luo, D Dai, J Ma, Z Yu arXiv preprint arXiv:1807.08920, 2018 | 55 | 2018 |
| Ensemble softmax regression model for speech emotion recognition Y Sun, G Wen Multimedia Tools and Applications 76, 8305-8328, 2017 | 51 | 2017 |
| Automatic construction of Chinese herbal prescriptions from tongue images using CNNs and auxiliary latent therapy topics Y Hu, G Wen, H Liao, C Wang, D Dai, Z Yu IEEE transactions on cybernetics 51 (2), 708-721, 2019 | 48 | 2019 |
| Dynamic objectives learning for facial expression recognition G Wen, T Chang, H Li, L Jiang IEEE Transactions on Multimedia 22 (11), 2914-2925, 2020 | 44 | 2020 |
| Facial expression recognition based on complexity perception classification algorithm T Chang, G Wen, Y Hu, J Ma arXiv preprint arXiv:1803.00185, 2018 | 40 | 2018 |
| Deep convolutional neural networks for classifying body constitution based on face image EY Huan, GH Wen, SJ Zhang, DY Li, Y Hu, TY Chang, Q Wang, BL Huang Computational and Mathematical Methods in Medicine 2017 (1), 9846707, 2017 | 40 | 2017 |
| Multi-relations aware network for in-the-wild facial expression recognition D Chen, G Wen, H Li, R Chen, C Li IEEE Transactions on Circuits and Systems for Video Technology 33 (8), 3848-3859, 2023 | 39 | 2023 |
| Multiple attentional pyramid networks for Chinese herbal recognition Y Xu, G Wen, Y Hu, M Luo, D Dai, Y Zhuang, W Hall Pattern Recognition 110, 107558, 2021 | 38 | 2021 |
| MVANet: Multi-task guided multi-view attention network for Chinese food recognition H Liang, G Wen, Y Hu, M Luo, P Yang, Y Xu IEEE Transactions on Multimedia 23, 3551-3561, 2020 | 36 | 2020 |
| Graph-based dynamic ensemble pruning for facial expression recognition D Li, G Wen, X Li, X Cai Applied Intelligence 49, 3188-3206, 2019 | 36 | 2019 |
| MRMR-based ensemble pruning for facial expression recognition D Li, G Wen Multimedia Tools and Applications 77, 15251-15272, 2018 | 33 | 2018 |
| Cognitive gravitation model for classification on small noisy data G Wen, J Wei, J Wang, T Zhou, L Chen Neurocomputing 118, 245-252, 2013 | 32 | 2013 |
| Supervised deep hashing for hierarchical labeled data D Wang, H Huang, C Lu, BS Feng, G Wen, L Nie, XL Mao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 31 | 2018 |
| Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding G Wen, L Jiang, J Wen Pattern Recognition 41 (7), 2226-2236, 2008 | 31 | 2008 |
| Using Graph Algebra to Optimize Neighborhood for Isometric Mapping. G Wen, L Jiang, NR Shadbolt IJCAI, 2398-2403, 2007 | 31 | 2007 |
| What can knowledge bring to machine learning?—a survey of low-shot learning for structured data Y Hu, A Chapman, G Wen, DW Hall ACM Transactions on Intelligent Systems and Technology (TIST) 13 (3), 1-45, 2022 | 28 | 2022 |
Yang HuNuffield Department of Medicine, University of Oxfordبريد إلكتروني تم التحقق منه على ndm.ox.ac.uk
